Hardware implementation of Distributed Learning Algorithm for mapping selection for Wireless Physical Layer Network Coding

摘要: A wireless relay node employing Wireless Physical Layer Network Coding (WPLNC) must use a specific mapping in order to combine incoming signals. This mapping, however, cannot be selected arbitrarily. Together with the signals from other network relays, it has allow destinations able recover source data available observations. Moreover should optimize local utility function. task can easily solved centralized networks. In decentralized ones, such as sensor or smart metering networks, assignment derived mutual communication, cooperation and/or signaling. this paper we focus on practical hardware implementation of distributed algorithm called Distributed Learning Algorithm (DLA). two source, and destination scenario have implemented non-cooperative game-based process that selects WPLNC each individual guaranteeing invertibility at well optimizing relay's function, namely output modulation cardinality. The testbed is based Software Defined Radio (SDR) modules used verify properties real-world conditions.